| 2026 | AAAI | Alfa: Attentive Low-Rank Filter Adaptation for Structure-Aware Cross-Domain Personalized Gaze Estimation. | He-Yen Hsieh, Wei-Te Mark Ting, H. T. Kung |
| 2025 | ICIP | DFT Gaze: Distilled and Fine-Tuned Gaze Estimation for Personalization on Tiny Devices. | He-Yen Hsieh, Ziyun Li, Sai Qian Zhang, Wei-Te Mark Ting, Kao-Den Chang, Barbara De Salvo, Chiao Liu, H. T. Kung |
| 2025 | ISCAS | FrameVoting: A Robust and Fast Method of Using Gaze Estimations to Identify Objects of Interest. | Kao-Den Chang, He-Yen Hsieh, H. T. Kung, Ziyun Li, Sai Qian Zhang |
| 2023 | ICASSP | One-Shot Action Detection via Attention Zooming In. | He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang, Tyng-Luh Liu |
| 2023 | WACV | Aggregating Bilateral Attention for Few-Shot Instance Localization. | He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang, Tyng-Luh Liu |
| 2022 | ECCV | Self-supervised Sparse Representation for Video Anomaly Detection. | Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu |
| 2022 | WACV | Contextual Proposal Network for Action Localization. | He-Yen Hsieh, Ding-Jie Chen, Tyng-Luh Liu |
| 2021 | CAIP | Progressive Contextual Excitation for Smart Farming Application. | Chia-Hung Bai, Setya Widyawan Prakosa, He-Yen Hsieh, Jenq-Shiou Leu, Wen-Hsien Fang |
| 2021 | CVPR | Adaptive Image Transformer for One-Shot Object Detection. | Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu |
| 2021 | ICRA | Referring Image Segmentation via Language-Driven Attention. | Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu |
| 2020 | ICIP | Temporal Action Proposal Generation Via Deep Feature Enhancement. | He-Yen Hsieh, Ding-Jie Chen, Tyng-Luh Liu |
| 2019 | SECON | Implementing a Real-Time Image Captioning Service for Scene Identification Using Embedded System. | He-Yen Hsieh, Jenq-Shiou Leu, Sheng-An Huang |
| 2018 | VTC | Towards the Implementation of Recurrent Neural Network Schemes for WiFi Fingerprint-Based Indoor Positioning. | He-Yen Hsieh, Setya Widyawan Prakosa, Jenq-Shiou Leu |
| 2017 | VTC | Prediction of Station Level Demand in a Bike Sharing System Using Recurrent Neural Networks. | Po-Chuan Chen, He-Yen Hsieh, Xanno Kharis Sigalingging, Yan-Ru Chen, Jenq-Shiou Leu |